Senior Data Analyst

K2 Integrity; Charlotte (NC); Remote; USD 125,000 - 150,000; Full time

Job summary

Join a leading company as a Senior Data Analyst in Charlotte, NC, where you'll utilize advanced analytics to combat financial crimes. This position focuses on identifying suspicious patterns and risks, requiring a strong technical background and experience in AML. Ideal candidates are proficient in SQL, Python, and have a solid understanding of AML regulations, contributing to effective investigations while working remotely.

Qualifications

• At least 3 years of experience in financial crimes/AML.
• Proficiency in data analytics tools, especially SQL and Python.
• Strong understanding of AML/KYC regulations.

Responsibilities

• Analyze transactions and customers to identify suspicious patterns.
• Design financial crime detection models.
• Translate forensic analyses into actionable insights.

Skills

Data Analytics

Statistical Analysis

Problem Solving

Communication

Education

Bachelor's degree in Data Analytics

Advanced degree in Data Engineering, Data Science, or Statistics

Tools

SQL

Python

R

SAS

Alteryx

Job description

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We are seeking a highly skilled Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. This is a contract role. The ideal candidate will have a strong technical background and extensive experience in the financial crimes and AML space. This role involves analyzing and interpreting transactions, accounts, customers, alerts, and third-party data using advanced statistical and analytical tools to identify potential suspicious patterns, anomalies, and risks.

Responsibilities:

• Analyze and interpret transactions, accounts, customers, alerts, and third-party data using statistical and analytical tools to identify potential suspicious patterns, anomalies, and potential risks.
• Utilize data analytics tools (e.g., SQL, Python, R, SAS) to support investigations teams and decision-making processes.
• Design and implement financial crime detection models and scenarios.
• Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies.
• Translate data-driven forensic analyses into actionable insights for investigators, enabling effective and efficient investigations.

Qualifications:

• At least a bachelor's degree in data analytics or a related field.
• Advanced degree in a related field (e.g., Data Engineering, Data Science, Statistics) preferred.
• 3+ years of experience in the field.
• Proven experience in the financial crimes / AML space.
• Proficiency in Alteryx is strongly preferred.
• Proficiency in data analytics tools such as SQL, Python, R, and SAS.
• Experience with Hadoop environment is a plus but not required.
• Strong understanding of AML/KYC regulations and practices.
• Experience in designing and implementing financial crime detection models and scenarios.
• Ability to conduct root cause analyses on financial crime incidents.
• Excellent analytical and problem-solving skills.
• Strong communication skills, with the ability to translate complex data into actionable insights.
• Experience working in a major financial institution or consulting firm preferred.
  

This role is work from home (United States).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Sales, General Business, and Education

• Industries

  Wireless Services, Telecommunications, and Communications Equipment Manufacturing

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